Kneevoice develops a non-invasive audio-arthrography system that captures sound vibrations from the patellofemoral joint to assess knee cartilage damage. This technology enables healthcare providers to obtain immediate diagnostic reports, empowering patients to monitor their knee health effectively.
Funding
$1.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Current methods for assessing knee cartilage damage often involve invasive procedures or imaging techniques that are expensive, time-consuming, and not easily accessible. This makes frequent monitoring of knee health challenging for both patients and healthcare providers.
Solution
Kneevoice is developing a non-invasive audio-arthrography system designed to capture sound vibrations, position, and other data from the patellofemoral joint. This data is then processed through a proprietary algorithm to generate a score representing the depth and degradation of the cartilage. The goal is to provide medical professionals with a simple and accurate method for assessing the condition of a patient’s knee cartilage directly in the office. The device is also being designed as a wearable to allow remote monitoring.
Target Audience
The primary target audience includes medical practitioners, physical therapists, and orthopedic specialists who require a quick and non-invasive method for assessing knee cartilage health, as well as patients seeking to proactively monitor their knee condition.
Features
- Patented knee sensors that securely attach to the patient's knee
- Records noise, vibration, and position data during 8-10 knee flexions
- Proprietary algorithm processes the data to produce a cartilage damage score
- Automatically generates a report with a sound recording for further analysis
- Designed for use by various care professionals in medical and physical therapy settings
- Developing a wearable device for remote patient monitoring